Software Engineer - AI/ML

Mountain View, California, United States

Egnyte

Egnyte's AI-powered platform unlocks organizations cloud content's full potential. 22,000+ businesses trust Egnyte to manage, secure, and govern their content.

View all jobs at Egnyte

Apply now Apply later

SOFTWARE ENGINEER - AI/ML

MOUNTAIN VIEW, CA - HYBRID

 

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

Invested Relationships

Fiscal Prudence

Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

 

Egnyte is seeking a Software Engineer to work on cutting-edge AI/ML projects, contributing to the development and integration of Generative AI and machine learning solutions at scale. As a Software Engineer, you will focus on designing, implementing, and deploying AI systems to enhance Egnyte’s platform capabilities. This is a hands-on role where you’ll work closely with cross-functional teams to solve complex technical challenges, optimize AI workflows, and ensure seamless delivery of solutions.

 

WHAT YOU’LL DO:

  • Contribute to the design, development, and deployment of AI/ML features for Egnyte’s platform.
  • Build and optimize Generative AI solutions, such as NLP-based models, to enhance user experiences and platform functionalities.
  • Collaborate with cross-functional teams, including Product and Data Science, to translate business requirements into AI-driven solutions.
  • Develop, test, and deploy machine learning models, ensuring scalability, performance, and maintainability.
  • Write clean, efficient, and production-ready code, following best practices in software engineering.
  • Stay up to date with the latest advancements in AI/ML technologies and apply them to relevant projects.
  • Participate in code reviews and contribute to improving engineering practices across the team.
  • Monitor and maintain deployed models, ensuring continuous improvement and reliability.

 

YOUR QUALIFICATIONS:

  • Strong foundation in computer science, algorithms, and data structures.
  • Hands-on experience with machine learning techniques, including Generative AI (LLMs, fine-tuning, and prompt engineering).
  • Proficient in AI/ML frameworks such as PyTorch, TensorFlow/Keras, and Hugging Face Transformers.
  • Experience working with Python and related tools for data processing and model development.
  • Familiarity with cloud platforms, such as GCP or AWS, and distributed computing environments.
  • Knowledge of containerization tools like Docker and orchestration frameworks like Kubernetes.
  • Solid communication skills, with a collaborative mindset and the ability to work effectively in cross-functional teams.
  • Willingness to be in office 3 days per week.

 

BONUS SKILLS:

  • Familiarity with LangChain, OpenAI APIs, or other Generative AI platforms.
  • Experience with additional programming languages such as Java or Scala.
  • Exposure to ML pipelines and frameworks like Kubeflow.
  • Knowledge of computer vision or multimodal machine learning techniques.
  • Demonstrated ability to present technical concepts to both technical and non-technical audiences.

 

COMPENSATION:

  • Our compensation reflects the cost of labor across multiple U.S. geographic locations, and pay varies based on defined markets. The standard base pay range for this position across the U.S. is $115k - $150k annually. Pay varies by work location and may also be dependent on job-related skills, knowledge, and/or experience. During the interview and/or hiring process, your recruiter can share more information about the compensation package specific to the role and job location.

BENEFITS:

  • Competitive salaries and comprehensive benefits
  • Flexible hours and generous time off (RTO, Responsible Time Off) to help support your work-life balance
  • Paid holidays and sick time
  • 401(k) Retirement Plan (Traditional, Roth and Mega Backdoor Roth)
  • Health Savings Account (HSA) with a generous employer contribution
  • Up to 12wks of paid Parental and Adoption Leave to help you grow your family
  • Modern and collaborative offices located in Spokane, WA; Draper, UT; Raleigh, NC; Mountain View, CA; Reading, England, and Poznan, Poland
  • Gym, cell phone, and internet reimbursement
  • Free well-being apps such as Peloton, Carrot, and Spring Health for Guardian are offered, as well access to our Employee Assistance Program (EAP)
  • Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more
  • Your own Egnyte account with lifetime access

Equal Employment Opportunity

Egnyte, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Egnyte, Inc.'s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment.

 

Commitment To Diversity, Equity, and Inclusion:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hr@egnyte.com. Egnyte, Inc. will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hr@egnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.

#LI-DNI

 

Apply now Apply later
Job stats:  1  0  0

Tags: APIs AWS Computer Science Computer Vision Docker Engineering GCP Generative AI Java Keras Kubeflow Kubernetes LangChain LLMs Machine Learning ML models NLP OpenAI Pipelines Prompt engineering Python PyTorch Scala Security Spark TensorFlow Transformers

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Parental leave Salary bonus

Region: North America
Country: United States

More jobs like this